function x = enthalpy(h)
eqn=@(x,h) 38.0657.*(( -x.*((3*0.605719400e-7)./x.^4 - 17.275266575 + (2*-0.210274769e-4)./x.^3 + (-0.158860716E-3)./x.^2 - (2.490888032)./x - (3*(-0.195363420E-3).*x.^(1/2))/2 + ((0.791309509)*(25.36365)*exp(-(25.36365).*x))./(exp(-(25.36365).*x) - 1) + ((0.212236768)*(16.90741)*exp(-(16.90741).*x))./(exp(-(16.90741).*x) - 1) - ((-0.197938904)*(87.31279)*exp((87.31279).*x))./(exp((87.31279).*x) + 2/3)))+1)./x - h;
x = solve(@(x,h)eqn==0,x,options)
end
h is changable. functiıon is not giving a answer. how can ı solve this function

 Réponse acceptée

Star Strider
Star Strider le 28 Avr 2020

0 votes

A bit of editing is in order, and a different optimisation function.
Try this:
eqn=@(x,h) 38.0657.*(( -x.*((3*0.605719400e-7)./x.^4 - 17.275266575 + (2*-0.210274769e-4)./x.^3 + (-0.158860716E-3)./x.^2 - (2.490888032)./x - (3*(-0.195363420E-3).*x.^(1/2))/2 + ((0.791309509)*(25.36365)*exp(-(25.36365).*x))./(exp(-(25.36365).*x) - 1) + ((0.212236768)*(16.90741)*exp(-(16.90741).*x))./(exp(-(16.90741).*x) - 1) - ((-0.197938904)*(87.31279)*exp((87.31279).*x))./(exp((87.31279).*x) + 2/3)))+1)./x - h;
x0 = 1;
x = fminsearch(@(x)norm(eqn(x,h)),x0)
There are several functions that would likely work, including fminunc and others. The solve function is only for symbolic functions, so it is not appropriate here.
Since you want to solve for ‘x’ that is the only varialbe the optimisation function needs to know about, so while both values need to be passed to the function, only ‘x’ is important to the optimisation. You are finding the minimum between the function and ‘h’, and the norm function optimises that. (It is the easiest to use here.)

4 commentaires

onur karakurt
onur karakurt le 28 Avr 2020
thanks so much for your answer :) it's working
Star Strider
Star Strider le 29 Avr 2020
My pleasure!
If my Answer helped you solve your problem, please Accept it!
.
onur karakurt
onur karakurt le 1 Mai 2020
star strider I have notice that , ı have to click 'RUN' button four times or more to obtain correct value;
Look T= Temp
R =8.314510; % Joule / ( mol * Kelvin)
Mass =28.9669; % 28,9586; g / mol
Temp=700
P=0.5
rho =( P * 1000)./( R.* T) ;
Tj =132.6312; %Kelvin (Maxcondentherm temperature)
rhoj =10.4477; %mol/dm3 (Maxcondentherm density)
Pj =3.78502; %MPa (Maxcondentherm pressure)
N1=0.605719400e-7; N2=-0.210274769e-4; N3=-0.158860716E-3;
N4=-13.841928076; N5=17.275266575; N6=-0.195363420E-3;
N7=2.490888032; N8=0.791309509; N9=0.212236768;
N10=-0.197938904; N11=25.36365; N12=16.90741;
N13=87.31279;
x=Tj./Temp;
y=rho./rhoj;
a0 = log(y) + N1.*x.^(-3) + N2.* x.^(-2) + N3.* x.^(-1) + N4 + N5.* x + ...
N6.* x.^1.5 + N7.* log(x) + N8.* log(1 - exp(-N11.* x)) + N9.* log(1 - exp(-N12.* x)) + ...
N10.* log((2/3) + exp(N13.* x));
x_da0_dx = -x.*((3*N1)./x.^4 - N5 + (2*N2)./x.^3 + N3./x.^2 - N7./x - (3*N6.*x.^(1/2))/2 + ...
(N8*N11*exp(-N11.*x))./(exp(-N11.*x) - 1) + (N9*N12*exp(-N12.*x))./(exp(-N12.*x) - 1) - ...
(N10*N13*exp(N13.*x))./(exp(N13.*x) + 2/3));
s =(R.*(-a0-x_da0_dx+1))./Mass % kj / kg Kelvin % WE ARE OBTAINING FIRST ENTROPY VALUE WITH THIS FUNCTION , BUT WITH FIRST ENTROPY VALUE WE COULDNT OBTAIN CORRECT TEMPERATURE VALUE BY USING "FMINSEARCH" FUNCTION.
WE HAVE TO CLICK four times "RUN" BUTTON TO GET CORRECT TEMPERATURE VALUE
eqn =@(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13)(R/Mass)*(-(log(( x * P * 1000)./( R* Tj*rhoj)) + N1.*x.^(-3) + N2.* x.^(-2) + N3.* x.^(-1) + N4 + N5.* x + ...
N6.* x.^1.5 + N7.* log(x) + N8.* log(1 - exp(-N11.* x)) + N9.* log(1 - exp(-N12.* x)) + ...
N10.* log((2/3) + exp(N13.* x)))-(-x.*((3*N1)./x.^4 - N5 + (2*N2)./x.^3 + N3./x.^2 - N7./x - (3*N6.*x.^(1/2))/2 + ...
(N8*N11*exp(-N11.*x))./(exp(-N11.*x) - 1) + (N9*N12*exp(-N12.*x))./(exp(-N12.*x) - 1) - ...
(N10*N13*exp(N13.*x))./(exp(N13.*x) + 2/3)))+1)-s;
options = optimset('Display','iter','MaxFunEvals',2e3)
x0=1
x = fminsearch(@(x)norm(eqn(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13)),x0,options)
T=Tj./x
eqn(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13) % to look to error value
Star Strider
Star Strider le 1 Mai 2020
I do not understand what the problem is, or what the ‘correct value’ is. Nonlinear parameter estimation routines are very sensitive to the starting value (here ‘x0’). Experiment with different values for it to get different results. I get the same result for ‘x’ (0.1895) with several different solvers (for example fminsearch, fminunc) in R2020a with the code you posted.

Connectez-vous pour commenter.

Plus de réponses (2)

onur karakurt
onur karakurt le 1 Mai 2020

0 votes

star strider I have notice that , ı have to click 'RUN' button four times or more to obtain correct value;
Look T= Temp
R =8.314510; % Joule / ( mol * Kelvin)
Mass =28.9669; % 28,9586; g / mol
Temp=700
P=0.5
rho =( P * 1000)./( R.* T) ;
Tj =132.6312; %Kelvin (Maxcondentherm temperature)
rhoj =10.4477; %mol/dm3 (Maxcondentherm density)
Pj =3.78502; %MPa (Maxcondentherm pressure)
N1=0.605719400e-7; N2=-0.210274769e-4; N3=-0.158860716E-3;
N4=-13.841928076; N5=17.275266575; N6=-0.195363420E-3;
N7=2.490888032; N8=0.791309509; N9=0.212236768;
N10=-0.197938904; N11=25.36365; N12=16.90741;
N13=87.31279;
x=Tj./Temp;
y=rho./rhoj;
a0 = log(y) + N1.*x.^(-3) + N2.* x.^(-2) + N3.* x.^(-1) + N4 + N5.* x + ...
N6.* x.^1.5 + N7.* log(x) + N8.* log(1 - exp(-N11.* x)) + N9.* log(1 - exp(-N12.* x)) + ...
N10.* log((2/3) + exp(N13.* x));
x_da0_dx = -x.*((3*N1)./x.^4 - N5 + (2*N2)./x.^3 + N3./x.^2 - N7./x - (3*N6.*x.^(1/2))/2 + ...
(N8*N11*exp(-N11.*x))./(exp(-N11.*x) - 1) + (N9*N12*exp(-N12.*x))./(exp(-N12.*x) - 1) - ...
(N10*N13*exp(N13.*x))./(exp(N13.*x) + 2/3));
s =(R.*(-a0-x_da0_dx+1))./Mass % kj / kg Kelvin % WE ARE OBTAINING FIRST ENTROPY VALUE WITH THIS FUNCTION , BUT WITH FIRST ENTROPY VALUE WE COULDNT OBTAIN CORRECT TEMPERATURE VALUE BY USING "FMINSEARCH" FUNCTION.
WE HAVE TO CLICK four times "RUN" BUTTON TO GET CORRECT TEMPERATURE VALUE
eqn =@(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13)(R/Mass)*(-(log(( x * P * 1000)./( R* Tj*rhoj)) + N1.*x.^(-3) + N2.* x.^(-2) + N3.* x.^(-1) + N4 + N5.* x + ...
N6.* x.^1.5 + N7.* log(x) + N8.* log(1 - exp(-N11.* x)) + N9.* log(1 - exp(-N12.* x)) + ...
N10.* log((2/3) + exp(N13.* x)))-(-x.*((3*N1)./x.^4 - N5 + (2*N2)./x.^3 + N3./x.^2 - N7./x - (3*N6.*x.^(1/2))/2 + ...
(N8*N11*exp(-N11.*x))./(exp(-N11.*x) - 1) + (N9*N12*exp(-N12.*x))./(exp(-N12.*x) - 1) - ...
(N10*N13*exp(N13.*x))./(exp(N13.*x) + 2/3)))+1)-s;
options = optimset('Display','iter','MaxFunEvals',2e3)
x0=1
x = fminsearch(@(x)norm(eqn(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13)),x0,options)
T=Tj./x
eqn(x,s,P,R,Mass,Tj,rhoj,N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13) % to look to error value

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